Evidence map›Paper›PMID 40974958›Full record

ArticleJACC. Advances2025

Coronary Heart Disease Attributable to Psychosocial Stressors at Work.

Mathilde Lavigne-Robichaud, Xavier Trudel, Denis Talbot, Alain Milot, Ana Paula Bruno Pena-Gralle, Miceline Mésidor, Mahée Gilbert-Ouimet, Isabelle Niedhammer, Hélène Sultan-Taïeb, Clermont E Dionne and 9 more

Abstract read
In one paragraph

Article in JACC. Advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Mathilde Lavigne-RobichaudPopulation Health and Optimal Health Practices Research Unit, CHU de Québec-Université Laval Research Center, Québec City, QC, Canada. Electronic address: mathilde.lavigne-robichaud@crchudequebec.ulaval.ca.
Xavier TrudelPopulation Health and Optimal Health Practices Research Unit, CHU de Québec-Université Laval Research Center, Québec City, QC, Canada; Department of Social and Preventive Medicine, Université Laval, Québec City, QC, Canada.
Denis TalbotPopulation Health and Optimal Health Practices Research Unit, CHU de Québec-Université Laval Research Center, Québec City, QC, Canada; Department of Social and Preventive Medicine, Université Laval, Québec City, QC, Canada.
Alain MilotPopulation Health and Optimal Health Practices Research Unit, CHU de Québec-Université Laval Research Center, Québec City, QC, Canada; Faculty of Medicine, Université Laval, Québec City, QC, Canada.
Ana Paula Bruno Pena-GralleFaculty of Pharmacy, Université de Montreal, Montréal, QC, Canada.
Miceline MésidorDepartment of Social and Preventive Medicine, Université Laval, Québec City, QC, Canada.
Mahée Gilbert-OuimetPopulation Health and Optimal Health Practices Research Unit, CHU de Québec-Université Laval Research Center, Québec City, QC, Canada; Department of Health Sciences, Université du Québec à Rimouski (UQAR), Campus de Lévis, QC, Canada.
Isabelle NiedhammerINSERM, U1299, Centre Borelli, École normale supérieure Paris-Saclay, Université Paris-Saclay, CNRS, Gif-sur-Yvette, Île-de-France, France.
Hélène Sultan-TaïebHuman Resources Department, School of Management, Université du Québec à Montréal (UQAM), Montréal, QC, Canada.
Clermont E DionnePopulation Health and Optimal Health Practices Research Unit, CHU de Québec-Université Laval Research Center, Québec City, QC, Canada; Department of Social and Preventive Medicine, Université Laval, Québec City, QC, Canada.
Michel VézinaDepartment of Social and Preventive Medicine, Université Laval, Québec City, QC, Canada.
Line GuénettePopulation Health and Optimal Health Practices Research Unit, CHU de Québec-Université Laval Research Center, Québec City, QC, Canada; Department of Social and Preventive Medicine, Université Laval, Québec City, QC, Canada.
Sophie LauzierPopulation Health and Optimal Health Practices Research Unit, CHU de Québec-Université Laval Research Center, Québec City, QC, Canada; Department of Social and Preventive Medicine, Université Laval, Québec City, QC, Canada.
Elizabeth MaunsellPopulation Health and Optimal Health Practices Research Unit, CHU de Québec-Université Laval Research Center, Québec City, QC, Canada; Department of Social and Preventive Medicine, Université Laval, Québec City, QC, Canada.
Caroline BironDepartment of Social and Preventive Medicine, Université Laval, Québec City, QC, Canada.
Neil PearceLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Benoît MâsseÉcole de santé publique de l'Université de Montréal, Montréal, QC, Canada.
Gilles R DagenaisFaculty of Medicine, Université Laval, Québec City, QC, Canada; Research Center of the Quebec Heart and Lung Institute, Québec City, QC, Canada.
Chantal BrissonPopulation Health and Optimal Health Practices Research Unit, CHU de Québec-Université Laval Research Center, Québec City, QC, Canada; Department of Social and Preventive Medicine, Université Laval, Québec City, QC, Canada; VITAM, Centre de recherche en santé durable, Québec City, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsychosocial stressors at work, including job strain and effort-reward imbalance (ERI), have been associated with an increased risk of coronary heart disease (CHD). However, the proportion of CHD events attributable to these exposures has not been quantified in a prospective cohort study.

objectivesThe purpose of this study was to estimate the fraction of CHD events attributable to psychosocial stressors at work in a 20-year prospective cohort study.

methodsThis prospective cohort study included employees from public and semipublic organizations in Quebec City, Canada, followed from 2004 and 2018. A total of 6,295 participants without cardiovascular disease at baseline were included. Job strain and ERI were assessed using validated instruments. Incident CHD events were identified through universally covered health care databases. Attributable fractions were estimated using the Kaplan-Meier method. Multiple imputation and inverse probability weighting were applied to address selection and confounding. The first 5 years of follow-up were excluded to minimize reverse causation.

resultsDuring 15-year follow-up, 669 CHD events occurred over 112,297 person-years, yielding a CHD incidence rate of 5.96 per 1,000 person-years. The attributable fraction for job strain was 18.2% (95% CI: 1.8%-34.7%), and for ERI, it was 3.3% (95% CI: -1.6% to 8.2%). Combined exposure to both stressors resulted in an attributable fraction of 19.5% (95% CI: 0.7%-38.4%).

conclusionsIn this cohort, combined exposure to job strain and ERI accounted for approximately one-fifth of CHD events. Findings suggest that psychosocial stressors at work could be relevant targets for reducing the burden of CHD through prevention strategies.

Indexed as

attributable fractionscardiovascular diseaseeffort-reward imbalancejob strainjob stressoccupational health

Identifiers

PMID40974958
PMCPMC12791889

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.